Lead Data Scientist

Xebia; Carballedo; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

Una empresa de consultoría tecnológica busca un Ingeniero de Datos Senior en Carballedo, España, para trabajar con equipos de ingeniería, producto y datos. Las responsabilidades incluyen diseñar y mantener plataformas de datos, optimizar pipelines de procesamiento de datos y colaborar con expertos en bioinformática. Se requiere experiencia sólida en Python y GCP, además de excelentes habilidades de comunicación en inglés. Ofrecemos un entorno innovador y oportunidades de crecimiento profesional.

Formación

• Fuertes habilidades en Python, incluyendo bibliotecas específicas y manejo de datos.
• Experiencia en el diseño de pipelines de NGS.
• Conocimientos en GCP y sus servicios relacionados.
• Experiencia en la aplicación de técnicas estadisticas y computacionales a datasets grandes.

Responsabilidades

• Desarrollar y optimizar modelos de ciencia de datos utilizando Python.
• Construir y mantener pipelines de procesamiento de datos de NGS.
• Analizar datasets biológicos a gran escala utilizando técnicas estadísticas.
• Implementar flujos de trabajo de procesamiento de datos en la nube utilizando servicios GCP.
• Colaborar con especialistas en bioinformática para traducir requisitos científicos en soluciones técnicas.

Conocimientos

Python

pydantic

PyTorch

pandas

SQL

Nextflow

Colaboración

Inglés

Herramientas

GCP

Docker

Kubernetes

Descripción del empleo

About us

Asegúrese de enviar su solicitud rápidamente para maximizar sus posibilidades de ser considerado para una entrevista. Lea la descripción completa del puesto a continuación.

For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting‑edge technology and game‑changing consulting to companies on the brink of AI‑driven digital transformation. Since 2001, we have grown into a full‑service digital consulting company with 5500+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in‑depth expertise based on an authentic, value‑led, and high quality way of working that inspires all we do.

At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork.

About the Role

As a Senior Data Engineer at Xebia, you will work closely with engineering, product, and data teams to deliver our clients scalable and robust data solutions. Your key responsibilities will include designing, building, and maintaining data platforms and pipelines and mentoring new engineers.

Responsibilities

• Develop, maintain, and optimize data science models using Python and modern ML frameworks.
• Build and support Next‑Generation Sequencing (NGS) data processing pipelines.
• Analyze large‑scale biological datasets, applying statistical and computational techniques.
• Implement cloud‑based data processing workflows using GCP services such as GCS, Cloud Run, GKE, BigQuery, and Dataflow.
• Design scalable data workflows using Nextflow and other orchestration tools.
• Collaborate with bioinformatics specialists and engineering teams to translate scientific requirements into technical solutions.
• Support model evaluation, validation, and deployment in cloud environments.
• Ensure best practices around reproducibility, documentation, and data quality.

What you bring

• Strong proficiency in Python, including pydantic, PyTorch, and pandas.
• Hands‑on experience designing or maintaining NGS pipelines.
• Experience with GCP (GCS, Cloud Run, GKE, BigQuery, Dataflow).
• Solid understanding of SQL and data querying.
• Practical experience using Nextflow for workflow definition and orchestration.
• Background in bioinformatics, including handling genomic data and biological datasets.
• Ability to work collaboratively with cross‑functional stakeholders.
• Excellent communication skills in English (written and spoken).

Nice to have

• Experience operationalizing ML models in cloud or containerised environments.
• Familiarity with Docker or Kubernetes.
• Understanding of data governance, reproducible research, and scientific computing standards.